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Frequency: 12 issues per year
ISSN: 2250–3005 (online version)
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International Journal of Computational Engineering Research

(IJCER)

 

Articles

 

Research Article  open access
Three Feature Datasets extracted from Popular Brazilian Hit Songs and Non-Hit Songs from 2014 to 2019
André A. Bertoni || Rodrigo P. Lemos || André A. S. Coelho || Hugo V. L. e Silva
Brazil
International Journal of Computational Engineering Research, Volume 11 ~ Issue 01 (January – 2021)

Abstract

The huge advance in Machine Learning and Deep Learning techniques encourages the confrontation of more challenging problems and produces an increasing demand for data sets that provide information appropriate to the complexity of the analysis. In fact, creating a dataset that is really functional and optimized for use in Artificial Intelligence systems can be as complex a task as its use. Particularly in the case of Hit Song Science, some companies or institutions specialized in the creation of this data, limit or greatly restrict its sharing. Sometimes the data sets include only a few specific artists, styles or contemporaneity, sometimes they bring a very limited set of characteristics or simply do not fit the scope of the research. Most databanks available in the Internet are very generic and compromise only songs in English, offering a limited number of features.......

Keywords:Feature Extraction, Hit Song Science, Music Information Retrieval (MIR), Audio Datasets, Dimensionality Reduction, Python, Pandas, Essentia Package, Predominant Melody, Brazilian Hit Songs.

Research Article  open access
Serverless implementation of Data Wizard application using Azure Kubernetes Service
Kishor Kumar Sethy
India
International Journal of Computational Engineering Research, Volume 11 ~ Issue 01 (January – 2021)

Abstract

Cloud vendors offer a variety of server less technologies promising high availability and dynamic scaling while reducing operational and maintenance costs. One such technology, server less computing using Azure Kubernetes Service (AKS) and Dockers is advertised as a good candidate for Web API, data-processing, or backend services, where you only pay for usage. Unlike virtual machines (VMs), they come with automatic resource provisioning and allocation, providing elastic and automatic scaling. We present the results from our investigation of a specific server less candidate, Data Wizard application, deployed on AKS and as function(s)- as-a-service. We contrast these deployments by migrating data from Azure Gen1 to Gen2 for measuring response times and costs.

Keywords:Server less; Function-as-a-Service; response time; Web API

Research Article  open access
Industrialization And Environmental Quality In Mysuru City And Its Environs
Dr. T.M. Mahesh
India
International Journal of Computational Engineering Research, Volume 11 ~ Issue 01 (January – 2021)

Abstract

The Environment is under serious threat today and it is no surprise that world rulers are making their sincere efforts at global forum to devise strategies for preserving the bio-diversity and and also to prevent environmental degradation. The present article tries to highlight the existing guide lines for sitting industries and types of pollution like air, water, land, caused by industrial activities in and around Mysuru city. The study tries to highlights water and Air pollution, source of air pollution, problems of air and water pollution, causal relationship of air pollutants. Further, water pollutants that changes the structure and quality of water bodies.

Keywords:...